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ORCIDAndrea Esuli
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- affiliation: Istituto di Scienza e Tecnologie dell'Informazione, Pisa, Italy
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2020 – today
- 2023
[b2]Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani
:
Learning to Quantify. The Information Retrieval Series 47, Springer 2023, ISBN 978-3-031-20466-1, pp. 1-123- [j31]Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Improved risk minimization algorithms for technology-assisted review. Intell. Syst. Appl. 18: 200209 (2023) - [j30]Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. 76: 1117-1180 (2023) - [c64]Giovanni Puccetti, Andrea Esuli:
AIMH at MULTI-Fake-DetectIVE: System Report (short paper). EVALITA 2023 - [c63]Davide Alessandro Coccomini, Roberto Caldelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato:
AIMH Lab Approaches for Deepfake Detection. Ital-IA 2023: 432-436 - [i32]Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Detecting Images Generated by Diffusers. CoRR abs/2303.05275 (2023) - [i31]Andrea Esuli:
The Interactive Classification System. ERCIM News 2023(132) (2023) - 2022
- [j29]Andrea Esuli:
ICS: Total Freedom in Manual Text Classification Supported by Unobtrusive Machine Learning. IEEE Access 10: 64741-64760 (2022) - [j28]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Lost in Transduction: Transductive Transfer Learning in Text Classification. ACM Trans. Knowl. Discov. Data 16(1): 13:1-13:21 (2022) - [c62]Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Active Learning and the Saerens-Latinne-Decaestecker Algorithm: An Evaluation. CIRCLE 2022 - [c61]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Concise Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF 2022: 362-381 - [c60]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF (Working Notes) 2022: 1849-1868 - [c59]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. ECIR (2) 2022: 374-381 - [i30]Nicola Messina, Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi:
Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching. CoRR abs/2206.10436 (2022) - [i29]Barbara Berti, Andrea Esuli, Fabrizio Sebastiani:
Unravelling Interlanguage Facts via Explainable Machine Learning. CoRR abs/2208.01468 (2022) - 2021
- [j27]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-class embeddings for multiclass text classification. Data Min. Knowl. Discov. 35(3): 911-963 (2021) - [j26]Andrea Esuli, Alessio Molinari, Fabrizio Sebastiani:
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment. ACM Trans. Inf. Syst. 39(2): 19:1-19:34 (2021) - [j25]Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 128:1-128:23 (2021) - [c58]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. CIKM Workshops 2021 - [c57]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. CIKM 2021: 4534-4543 - [c56]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Publicly Available Python-Based Software Library for Quantification. CIKM Workshops 2021 - [i28]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. CoRR abs/2106.11057 (2021) - [i27]Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness under Unawareness via Quantification. CoRR abs/2109.08549 (2021) - [i26]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. CoRR abs/2111.11249 (2021) - 2020
- [j24]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. IEEE Intell. Syst. 35(3): 106-114 (2020) - [j23]Lucas May Petry, Camila Leite da Silva, Andrea Esuli, Chiara Renso, Vania Bogorny:
MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings. Int. J. Geogr. Inf. Sci. 34(7): 1428-1450 (2020) - [j22]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. IEEE Trans. Knowl. Data Eng. 32(2): 302-316 (2020) - [c55]Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image- Text Matching and Retrieval. ICPR 2020: 5222-5229 - [i25]Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image-Text Matching and Retrieval. CoRR abs/2004.09144 (2020) - [i24]Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders. CoRR abs/2008.05231 (2020)
2010 – 2019
- 2019
- [j21]Alessio Ferrari, Andrea Esuli:
An NLP approach for cross-domain ambiguity detection in requirements engineering. Autom. Softw. Eng. 26(3): 559-598 (2019) - [j20]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification. ACM Trans. Inf. Syst. 37(3): 37:1-37:30 (2019) - [i23]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification. CoRR abs/1901.11459 (2019) - [i22]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. CoRR abs/1903.12090 (2019) - [i21]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Building Automated Survey Coders via Interactive Machine Learning. CoRR abs/1903.12110 (2019) - [i20]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. CoRR abs/1904.07965 (2019) - [i19]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-Class Embeddings for Multiclass Text Classification. CoRR abs/1911.11506 (2019) - 2018
- [j19]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture it in your mind: generating high level visual representations from textual descriptions. Inf. Retr. J. 21(2-3): 208-229 (2018) - [c54]Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. CIKM 2018: 1775-1778 - [c53]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). IJCAI 2018: 5642-5646 - [c52]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). IJCAI 2018: 5647-5651 - [c51]Alessio Ferrari, Andrea Esuli, Stefania Gnesi:
Identification of Cross-Domain Ambiguity with Language Models. AIRE@RE 2018: 31-38 - [p1]Giuseppe Amato, Leonardo Candela, Donatella Castelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Fosca Giannotti, Anna Monreale, Mirco Nanni, Pasquale Pagano, Luca Pappalardo, Dino Pedreschi, Francesca Pratesi, Fausto Rabitti, Salvatore Rinzivillo, Giulio Rossetti, Salvatore Ruggieri, Fabrizio Sebastiani, Maurizio Tesconi:
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. A Comprehensive Guide Through the Italian Database Research 2018: 287-306 - [i18]Andrea Esuli, Lucas May Petry, Chiara Renso, Vania Bogorny:
Traj2User: exploiting embeddings for computing similarity of users mobile behavior. CoRR abs/1808.00554 (2018) - [i17]Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. CoRR abs/1809.00836 (2018) - [i16]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments. CoRR abs/1810.09311 (2018) - 2017
- [j18]Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Perception of social phenomena through the multidimensional analysis of online social networks. Online Soc. Networks Media 1: 14-32 (2017) - [j17]Alessio Ferrari, Felice Dell'Orletta, Andrea Esuli, Vincenzo Gervasi, Stefania Gnesi:
Natural Language Requirements Processing: A 4D Vision. IEEE Softw. 34(6): 28-35 (2017) - [i15]Fabio Carrara, Andrea Esuli, Fabrizio Falchi, Alejandro Moreo Fernández:
Exploring epoch-dependent stochastic residual networks. CoRR abs/1704.06178 (2017) - [i14]Andrea Esuli, Tiziano Fagni, Alejandro Moreo Fernández:
JaTeCS an open-source JAva TExt Categorization System. CoRR abs/1706.06802 (2017) - [i13]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification. ERCIM News 2017(110) (2017) - [i12]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. ERCIM News 2017(111) (2017) - 2016
- [j16]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. J. Artif. Intell. Res. 55: 131-163 (2016) - [j15]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification. J. Artif. Intell. Res. 57: 151-185 (2016) - [c50]Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. ASONAM 2016: 1270-1277 - [c49]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. IIR 2016 - [c48]Andrea Esuli:
ISTI-CNR at SemEval-2016 Task 4: Quantification on an Ordinal Scale. SemEval@NAACL-HLT 2016: 92-95 - [c47]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Distributional Random Oversampling for Imbalanced Text Classification. SIGIR 2016: 805-808 - [i11]Mauro Coletto, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Andrea Esuli, Chiara Renso, Raffaele Perego:
Sentiment-enhanced Multidimensional Analysis of Online Social Networks: Perception of the Mediterranean Refugees Crisis. CoRR abs/1605.01895 (2016) - [i10]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions. CoRR abs/1606.07287 (2016) - [i9]Giacomo Berardi, Diego Ceccarelli, Andrea Esuli, Diego Marcheggiani:
On the Impact of Entity Linking in Microblog Real-Time Filtering. CoRR abs/1611.03350 (2016) - 2015
- [j14]Giuseppe Amato, Andrea Esuli, Fabrizio Falchi:
A comparison of pivot selection techniques for permutation-based indexing. Inf. Syst. 52: 176-188 (2015) - [j13]Andrea Esuli, Fabrizio Sebastiani:
Optimizing Text Quantifiers for Multivariate Loss Functions. ACM Trans. Knowl. Discov. Data 9(4): 27:1-27:27 (2015) - [j12]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani:
Utility-Theoretic Ranking for Semiautomated Text Classification. ACM Trans. Knowl. Discov. Data 10(1): 6:1-6:32 (2015) - [c46]Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani:
Semi-Automated Text Classification for Sensitivity Identification. CIKM 2015: 1711-1714 - [c45]Andrea Esuli, Alejandro Moreo Fernández:
Distributional Correspondence Indexing for Cross-Language Text Categorization. ECIR 2015: 104-109 - [c44]Salud M. Jiménez Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martín-Valdivia, Alejandro Moreo Fernández:
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining. EMNLP 2015: 2533-2538 - [c43]Giacomo Berardi, Andrea Esuli, Diego Marcheggiani:
Word Embeddings Go to Italy: A Comparison of Models and Training Datasets. IIR 2015 - [c42]Andrea Esuli, Tiziano Fagni:
ProcessFast, a Java Framework for Development of Concurrent and Distributed Applications. IIR 2015 - [c41]Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani:
Multi-store metadata-based supervised mobile app classification. SAC 2015: 585-588 - [c40]Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani:
Classifying websites by industry sector: a study in feature design. SAC 2015: 1053-1059 - [c39]Giacomo Berardi, Diego Ceccarelli, Andrea Esuli, Diego Marcheggiani:
On the impact of entity linking in microblog real-time filtering. SAC 2015: 1066-1071 - [i8]Andrea Esuli, Fabrizio Sebastiani:
Optimizing Text Quantifiers for Multivariate Loss Functions. CoRR abs/1502.05491 (2015) - [i7]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani:
Utility-Theoretic Ranking for Semi-Automated Text Classification. CoRR abs/1503.00491 (2015) - [i6]Andrea Esuli, Fabrizio Sebastiani:
Optimizing Text Quantifiers for Multivariate Loss Functions. ERCIM News 2015(100) (2015) - 2014
- [j11]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Feature Selection for Ordinal Text Classification. Neural Comput. 26(3): 557-591 (2014) - [c38]Andrea Esuli, Fabrizio Sebastiani:
Explicit Loss Minimization in Quantification Applications (Preliminary Draft). DART@AI*IA 2014: 1-11 - [c37]Diego Marcheggiani, Oscar Täckström, Andrea Esuli, Fabrizio Sebastiani:
Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining. ECIR 2014: 273-285 - 2013
- [j10]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Variable-constraint classification and quantification of radiology reports under the ACR Index. Expert Syst. Appl. 40(9): 3441-3449 (2013) - [j9]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Using micro-documents for feature selection: The case of ordinal text classification. Expert Syst. Appl. 40(11): 4687-4696 (2013) - [j8]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani, Fabrizio Silvestri:
Endorsements and rebuttals in blog distillation. Inf. Sci. 249: 38-47 (2013) - [j7]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
An enhanced CRFs-based system for information extraction from radiology reports. J. Biomed. Informatics 46(3): 425-435 (2013) - [j6]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
StarTrack: The Next Generation (of Product Review Management Tools). New Gener. Comput. 31(1): 47-70 (2013) - [j5]Andrea Esuli, Fabrizio Sebastiani:
Improving Text Classification Accuracy by Training Label Cleaning. ACM Trans. Inf. Syst. 31(4): 19:1-19:28 (2013) - [c36]Giuseppe Amato, Andrea Esuli, Fabrizio Falchi:
Pivot Selection Strategies for Permutation-Based Similarity Search. SISAP 2013: 91-102 - [i5]Andrea Esuli:
The User Feedback on SentiWordNet. CoRR abs/1306.1343 (2013) - [i4]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani:
Utility-Theoretic Ranking for Semi-Automated Text Classification. ERCIM News 2013(92) (2013) - 2012
- [j4]Andrea Esuli:
Use of permutation prefixes for efficient and scalable approximate similarity search. Inf. Process. Manag. 48(5): 889-902 (2012) - [c35]Giacomo Berardi, Andrea Esuli, Sergiu Gordea, Diego Marcheggiani, Fabrizio Sebastiani:
Metadata Enrichment Services for the Europeana Digital Library. TPDL 2012: 508-511 - [c34]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani, Fabrizio Silvestri:
Blog Distillation via Sentiment-Sensitive Link Analysis. NLDB 2012: 228-233 - [c33]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani:
A utility-theoretic ranking method for semi-automated text classification. SIGIR 2012: 961-970 - [c32]Giacomo Berardi, Andrea Esuli, Diego Marcheggiani:
ISTI@TREC Microblog Track 2012: Real-Time Filtering Through Supervised Learning. TREC 2012 - 2011
- [c31]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Using Micro-Documents for Feature Selection: The Case of Ordinal Text Classification. IIR 2011 - [c30]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani, Fabrizio Silvestri:
Blog Distillation via Sentiment-Sensitive Link Analysis. IIR 2011 - [c29]Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
ISTI@TREC Microblog Track 2011: Exploring the Use of Hashtag Segmentation and Text Quality Ranking. TREC 2011 - 2010
- [j3]Andrea Esuli, Fabrizio Sebastiani:
Sentiment Quantification. IEEE Intell. Syst. 25(4): 72-75 (2010) - [c28]Andrea Esuli, Fabrizio Sebastiani:
Evaluating Information Extraction. CLEF 2010: 100-111 - [c27]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Selecting Features for Ordinal Text Classification. IIR 2010: 13-14 - [c26]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
Sentence-Based Active Learning Strategies for Information Extraction. IIR 2010: 41-45 - [c25]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. LREC 2010 - [c24]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Feature selection for ordinal regression. SAC 2010: 1748-1754 - [c23]Andrea Esuli:
PP-Index: Using Permutation Prefixes for Efficient and Scalable Similarity Search (Extended Abstract). SEBD 2010: 318-325 - [c22]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification. SemEval@ACL 2010: 218-221 - [i3]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
Extracting Information from Free-text Mammography Reports. ERCIM News 2010(82): 60 (2010)
2000 – 2009
- 2009
- [c21]Andrea Esuli, Fabrizio Sebastiani:
Active Learning Strategies for Multi-Label Text Classification. ECIR 2009: 102-113 - [c20]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Multi-facet Rating of Product Reviews. ECIR 2009: 461-472 - [c19]Andrea Esuli, Fabrizio Sebastiani:
Encoding Ordinal Features into Binary Features for Text Classification. ECIR 2009: 771-775 - [c18]Andrea Esuli, Fabrizio Sebastiani:
Training Data Cleaning for Text Classification. ICTIR 2009: 29-41 - [c17]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Evaluation Measures for Ordinal Regression. ISDA 2009: 283-287 - [c16]Andrea Esuli, Fabrizio Sebastiani:
Enhancing Opinion Extraction by Automatically Annotated Lexical Resources - (Extended Version). LTC 2009: 500-511 - [c15]Andrea Esuli:
PP-Index: Using Permutation Prefixes for Efficient and Scalable Approximate Similarity Search. LSDS-IR@SIGIR 2009 - [c14]Andrea Esuli:
MiPai: Using the PP-Index to Build an Efficient and Scalable Similarity Search System. SISAP 2009: 146-148 - [i2]Paolo Bolettieri, Andrea Esuli, Fabrizio Falchi, Claudio Lucchese, Raffaele Perego, Tommaso Piccioli, Fausto Rabitti:
CoPhIR: a Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4627 (2009) - [i1]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Multi-Faceted Rating of Product Reviews. ERCIM News 2009(77) (2009) - 2008
- [b1]Andrea Esuli:
Automatic Generation of Lexical Resources for Opinion Mining: Models, Algorithms and Applications. University of Pisa, Italy, 2008 - [j2]Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani